Job
Description
The role requires strategic thinking and technical expertise in financial crime detection and prevention, particularly utilizing advanced analytical methodologies. As a skilled professional, you will be responsible for designing, developing, and deploying analytics/models to identify suspicious activities and financial crime. Your role will involve enhancing Transaction Monitoring effectiveness, in compliance with the regulations governing the financial sector. You will play a crucial part in developing anomaly detection models, behavior profiling, network analysis, and predictive scoring for TM Solutions. Moreover, you will act as a key point of contact for AML Transaction Monitoring Modelling related matters. Your responsibilities will include data exploration, feature engineering, and ensuring the accuracy, efficiency, and scalability of models. You will support analytical processes to enhance TM red flag monitoring and optimize cases for investigation through AI/ML models and analytical procedures. Additionally, you will work on improving processes associated with the Transaction Monitoring function across various products such as CASA, Trade, Credit Cards, Securities, and Financial Markets. Furthermore, you will be expected to support the design of different scenario models, their development and validation, data quality validation, model effectiveness, and rules logic for effective risk analytics. You will be accountable for ensuring that all processes and models comply with the Bank's governance process, including Model Risk Policy Governance and Risk-Based Rule review. Your expertise will be crucial in conceptualizing, designing, and aligning relevant processes and controls to industry best practices, ensuring compliance with regulations, and conducting training programs for new joiners and the team. You will also provide endorsement for changes or remediation activities impacting AML Optimization models, engage with relevant stakeholders for deploying changes to production, and collaborate effectively with cross-functional teams. Your role will involve attending business/segment/product-related working group meetings, tracking and remediating surveillance and investigations related regulatory findings, and providing regular progress updates on agreed mitigation actions concerning AML Optimization Model Issues and enhancements. As a seasoned professional, you should possess at least 10 years of hands-on experience in Transaction Monitoring design and development, with a focus on financial crime threat risk mitigation. A strong background in deploying models within TM or compliance environments, along with a solid understanding of AML/CFT regulations, will be essential. You should hold a Post Graduate degree in Management/Statistics/Mathematics or a Graduate degree in Engineering from a reputed institution. Certification from ACAMS or equivalent and strong coding skills in Python, R, SQL are required, along with familiarity with data engineering practices for model integration. Join us at Standard Chartered Bank, an international bank that values diversity and inclusion, where you can make a positive difference and grow both personally and professionally. If you are passionate about driving commerce and prosperity and are committed to living our valued behaviors, we welcome your unique talents to contribute to our shared success.,
